Triple

T15130137
Position Surface form Disambiguated ID Type / Status
Subject Oasis Canteen E361395 entity
Predicate onWaterBody P1714 FINISHED
Object Echo Lake
Echo Lake is a small man-made body of water located in Disney's Hollywood Studios at Walt Disney World Resort in Florida, surrounded by themed attractions, dining, and entertainment.
 E73276 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Echo Lake | Statement: [Oasis Canteen, onWaterBody, Echo Lake]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Echo Lake
Triple: [Oasis Canteen, onWaterBody, Echo Lake]
Generated description
Echo Lake is a small man-made body of water located in Disney's Hollywood Studios at Walt Disney World Resort in Florida, surrounded by themed attractions, dining, and entertainment.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: onWaterBody
Context triple: [Oasis Canteen, onWaterBody, Echo Lake]
  • A. appliesToWaterBody
    Indicates that something (such as a rule, condition, property, or effect) is relevant or applicable specifically to a particular water body.
  • B. isInlandWaterBody
    Indicates that one entity is a body of water located inland (such as a lake, river, or reservoir) rather than part of the open ocean or sea.
  • C. isInlandWaterBodyOf
    Indicates that one water body is an inland (non-oceanic) water feature that is geographically part of, contained within, or associated with another entity.
  • D. locatedInBodyOfWater chosen
    Indicates that an entity is situated within or on the surface of a specific body of water.
  • E. navigatesWaterBody
    Indicates that an entity moves through or across a body of water as a means of travel or operation.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b194748190801e3956bf2429d4 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276ec9d3c481909ebe21b86418eb0d completed June 9, 2026, 1:39 a.m.
NEDg Description generation batch_6a27700902c88190b2ccb53c4bce92d3 completed June 9, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_6a2770b9c5148190834f1748388200a2 completed June 9, 2026, 1:47 a.m.
PD Predicate disambiguation batch_69deb9713fe881909dec2fd3f6c84b39 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:06 a.m.